← Back to home
Comparison · Analytics

leaflet vs see

A side-by-side editorial comparison of leaflet and see — release velocity, themes, recent moves, and the top alternatives to consider.

leaflet vs see: at a glance

Featureleafletsee
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmapping, geospatial, sf-migration, licensingr, easystats, data-visualization, ggplot2
Last editorial update57m ago2h ago
WebsiteVisit →Visit →

What is leaflet?

leaflet relicensed to MIT and finished migrating off R's retired spatial stack

leaflet is the R binding for the Leaflet mapping library. Its recent releases are dominated by one long migration: away from sp, rgdal, rgeos and raster, and toward sf and terra. Version 2.2.3 completed the user-facing half of that - sp is no longer installed by default, and bundled datasets ship as sf objects - while also relicensing the package from GPL-2 to MIT.

Read the full leaflet trajectory →

What is see?

see grows wherever easystats adds a diagnostic, one plot method at a time.

see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.

Read the full see trajectory →

leaflet vs see: editorial side-by-side

L
leaflet
ANALYTICS
0.0

leaflet relicensed to MIT and finished migrating off R's retired spatial stack

◆ Current state

leaflet is the R binding for the Leaflet mapping library. Its recent releases are dominated by one long migration: away from sp, rgdal, rgeos and raster, and toward sf and terra. Version 2.2.3 completed the user-facing half of that - sp is no longer installed by default, and bundled datasets ship as sf objects - while also relicensing the package from GPL-2 to MIT.

◆ Where it's heading

This is a package being brought into line with an ecosystem that changed underneath it. The retirement of rgdal and rgeos forced the terra and sf work; the license change and dependency reductions are the maintainers taking the opportunity to clean up while they are already in there. Feature work, such as the full viridisLite palette set, arrives as a side effect of the tidying.

◆ Prediction

With the sp path now opt-in and the retired geospatial dependencies gone, expect the remaining work to be small: palette and provider-tile handling, and keeping the bundled JavaScript current.

S
see
ANALYTICS
0.0

see grows wherever easystats adds a diagnostic, one plot method at a time.

◆ Current state

see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.

◆ Where it's heading

Growth here is downstream-driven rather than self-directed: see expands to cover new diagnostics as easystats produces them. Running alongside that is a sustained investment in presentation control — theme arguments on plot methods, elements that scale with base_size — which suits users embedding these plots in documents rather than glancing at them interactively.

◆ Prediction

Expect new plot methods to keep arriving in step with performance and parameters releases, with continued theming work rather than any change in the package's scope.

Alternatives to leaflet and see

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either leaflet or see.

See all leaflet alternatives → · See all see alternatives →

Recent activity from leaflet and see

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agoseesee 0.14.1 adds plots for prior checks and grouped means
  2. 2mo agoseesee 0.14.0 renders factor loadings as node-edge graphs
  3. 6mo agoseesee 0.13.0 fixes reversed plot sorting, adds theme arguments
  4. 11mo agoseesee 0.12.0 extends normality checks to psych factor models
  5. 11mo agoleafletMIT relicensing and sp dropped from default installs
  6. 1y agoseesee 0.11.0 scales theme elements with base_size
  7. 1y agoseesee 0.10.0 plots random-effect group levels for mixed models
  8. 2y agoleafletterra CRS handling fixed; raster images accept layer options
  9. 2y agoleafletProvider tile dependency is cacheable by knitr again
  10. 2y agoleafletAdds terra support and removes rgdal and rgeos
  11. 3y agoleafletUpdates proj4.js and fixes examples to stay on CRAN

Frequently asked questions

What is the difference between leaflet and see?

They serve adjacent needs but don't currently overlap on shipped themes. leaflet and see are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is leaflet better than see?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. leaflet and see are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to leaflet?

Top leaflet alternatives in Analytics are ranked by recent ship velocity. Browse the "leaflet alternatives" section above for the current picks, or visit /alternatives/leaflet-r for the full list with editorial commentary on each.

What are the best alternatives to see?

Top see alternatives in Analytics are ranked by recent ship velocity. Browse the "see alternatives" section above for the current picks, or visit /alternatives/see-r for the full list with editorial commentary on each.